1 - Load Testing:

Load testing involves testing the system under normal and peak load conditions to ensure it can handle the expected number of users and transactions without performance degradation. It helps identify system bottlenecks and capacity limits.

2 - Stress Testing:

Stress testing evaluates the system's behavior beyond its normal operational capacity, pushing it to its limits or breaking point. It helps identify how the system behaves under extreme conditions, such as high traffic, resource exhaustion, or heavy loads.

3 - Endurance Testing:

Endurance testing, also known as soak testing, involves running the system under a sustained load for an extended period to assess its stability and performance over time. It helps uncover memory leaks, resource leaks, and other issues that may occur during prolonged use.

4 - Spike Testing:

Spike testing evaluates the system's ability to handle sudden and significant increases in load or traffic. It simulates scenarios where there's a sudden surge in user activity, such as during a flash sale or breaking news event, to ensure the system can scale up rapidly and handle the spike without crashing or slowing down.

5 - Volume Testing:

Volume testing involves testing the system with a large volume of data to evaluate its performance and scalability. It helps assess how the system handles a high volume of transactions, large databases, or data-intensive operations without performance degradation or data loss.

6 - Scalability Testing:

Scalability testing assesses the system's ability to scale up or down in response to changing demands. It involves testing the system's performance under increasing or decreasing loads to determine its capacity limits, resource allocation efficiency, and ability to maintain performance as the workload changes.

These different types of performance tests help ensure that the system meets its performance objectives, remains stable under various conditions, and can handle the expected workload effectively.